Triple
T16026993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afanasy Danilovich |
E388740
|
entity |
| Predicate | patronymic |
P7966
|
FINISHED |
| Object | Danilovich |
E188958
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Danilovich | Statement: [Afanasy Danilovich, patronymic, Danilovich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danilovich Context triple: [Afanasy Danilovich, patronymic, Danilovich]
-
A.
Danilovich
chosen
Danilovich is a Russian patronymic indicating "son of Danilo," commonly used as a middle name in Slavic naming traditions.
-
B.
Danilovna
Danilovna is a Russian patronymic suffix used for women, indicating "daughter of Danil" or "daughter of Daniel."
-
C.
Danil
Danil is a masculine given name, common in Slavic countries, that is a variant of Daniel and typically means "God is my judge."
-
D.
Semyonov
Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
-
E.
Zinoviy
Zinoviy is a masculine given name of Slavic origin, commonly used in Russian and Ukrainian contexts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18328707c8190b9a444c78faaaa04 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf33c6a881909284933ea3b7dd6e |
completed | May 10, 2026, 12:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.